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The latest funding rounds from the UK tech ecosystem. Updated 16 October 2026.
Announcements
308
Total raised
£4.1B
disclosed amounts
This month
£27.8M
raised so far
The oversubscribed round was led by DSW Ventures with backing from Scottish Enterprise, SWIM Capital and the University of Strathclyde.
"We’re excited to enter the next stage for Northern Light Microscopy. With the technology validated, this funding enables us to move forward into initial sales, scaling and product line expansion."
The pre_seed round was led by 55 North to support platform expansion and upcoming pharmaceutical pilots.
"Early on in our research, we started looking at ways to get the most out of the quantum devices we had access to. That’s where some of these ideas started to form, which have eventually become what we’re now calling quantum compression,"
Parkwalk led the round to help the University of Cambridge spinout expand its manufacturing and commercial reach.
Northern Gritstone led the seed round to support the rollout of the firm's crop technology across major food species.
"Food security and sustainability are two of our most pressing global challenges, and issues that we must be prepared to face today to ensure we are ready to meet the needs of tomorrow. We developed MOSS with those challenges in mind – a unique crop engineering solution capable of streamlining regulatory pathways and generating crops with new, enhanced, and more carbon-conscious traits. Thank you to our investors, whose support reaffirms our belief in the potential of MOSS to bring about a new frontier in crop technology."
The funding round was led by Archangels to support product development and market entry.
"Oncology is an exciting and vibrant sector. The scientists and technologists have been doing incredible things based upon the samples that they’re given, but there hasn’t been any particular movement in how the samples are prepared for years. Our msX platform has the potential to revolutionise how samples are collected, allowing for larger samples, faster extraction, simpler processing, and fully automatable capabilities."
